Function reference • baizer

All functions

adjacent_div(): expand a number vector according to the adjacent two numbers

alias_arg(): use aliases for function arguments

as_md_table(): trans a tibble into markdown format table

as_tibble_md(): trans a table in markdown format into tibble

atomic_expr(): whether the expression is an atomic one

broadcast_vector(): broadcast the vector into length n

c2r(): wrapper of tibble::column_to_rownames

check_arg(): check arguments by custom function

cmdargs(): get the command line arguments

collapse_vector(): dump a named vector into character

combn_vector(): combine multiple vectors into one

correct_ratio(): correct the numbers to a target ratio

cross_count(): count two columns as a cross-tabulation table

detect_dup(): detect possible duplication in a vector, ignore case, blank and special character

diff_index(): the index of different character

diff_tb(): differences between two tibbles

dx_tb(): diagnosis a tibble for character NA, NULL, all T/F column, blank in cell

empty_dir(): detect whether directory is empty recursively

empty_file(): detect whether file is empty recursively

exist_matrix(): generate a matrix to show whether the item in each element of a list

expr_pileup(): pileup the subexpressions which is atomic

extract_kv(): extract key and values for a character vector

fancy_count(): fancy count to show an extended column

fetch_char(): fetch character from strings

filterC(): apply tbflt on dplyr filter

fix_to_regex(): trans fixed string into regular expression string

float_to_percent(): from float number to percent number

fps_vector(): farthest point sampling (FPS) for a vector

full_expand(): like dplyr::full_join while ignore the same columns in right tibble

gen_char(): generate characters

gen_combn(): generate all combinations

gen_outlier(): generate outliers from a series of number

gen_str(): generate strings

gen_tb(): generate tibbles

generate_ticks(): generate ticks for a number vector

geom_mean(): geometric mean

`%eq%`: equal calculation operator, support NA

`%neq%`: not equal calculation operator, support NA

`%nin%`: not in calculation operator

group_vector(): group character vector by a regex pattern

hist_bins(): separate numeric x into bins

inner_expand(): like dplyr::inner_join while ignore the same columns in right tibble

int_digits(): trans numbers to a fixed integer digit length

is.zero(): if a number only have zeros

left_expand(): like dplyr::left_join while ignore the same columns in right tibble

list2df(): trans list into data.frame

max_depth(): max depth of a list

melt_vector(): melt a vector into single value

mini_diamond: Minimal tibble dataset adjusted from diamond

mm_norm(): max-min normalization

move_row(): move selected rows to target location

near_ticks(): the ticks near a number

nearest_tick(): the nearest ticks around a number

not.na(): not NA

not.null(): not NULL

number_fun_wrapper(): wrapper of the functions to process number string with prefix and suffix

ordered_slice(): slice a tibble by an ordered vector

percent_to_float(): from percent number to float number

pileup_logical(): pileup another logical vector on the TRUE values of first vector

pkginfo(): information of packages

pkglib(): load packages as a batch

pkgver(): versions of packages

pos_int_split(): split a positive integer number as a number vector

r2c(): wrapper of tibble::rownames_to_column

read_excel(): read excel file

read_excel_list(): read multi-sheet excel file as a list of tibbles

read_fmmd(): read front matter markdown

ref_level(): relevel a target column by another reference column

reg_join(): join the matched parts into string

reg_match(): regex match

remove_monocol(): remove columns by the ratio of an identical single value (NA supported)

remove_nacol(): remove columns by the ratio of NA

remove_narow(): remove rows by the ratio of NA

remove_outliers(): remove outliers and NA

replace_item(): replace the items of one object by another

rewrite_na(): rewrite the NA values in a tibble by another tibble

rng2seq(): trans range character into seq characters

round_string(): from float number to fixed digits character

roxygen_fmt(): add #' into each line of codes for roxygen examples

same_index(): the index of identical character

seriate_df(): dataframe rows seriation, which will reorder the rows in a better pattern

sftp_connect(): connection parameters to remote server via sftp

sftp_download(): download file from remote server via sftp

sftp_ls(): list files from remote server via sftp

signif_ceiling(): signif while use ceiling

signif_floor(): signif while use floor

signif_round_string(): signif or round string depend on the character length

signif_string(): from float number to fixed significant digits character

slice_char(): slice character vector

sortf(): sort by a function

split_column(): split a column and return a longer tibble

split_path(): split a path into ancestor paths recursively

split_vector(): split vector into list

stat_fc(): fold change calculation which returns a extensible tibble

stat_phi(): calculate phi coefficient of two binary variables

stat_test(): statistical test which returns a extensible tibble

str_replace_loc(): replace specific characters in a string by their locations

swap_vecname(): swap the names and values of a vector

tbflt(): create a tbflt object to save filter conditions

tdf(): transpose a dataframe

top_item(): return top n items with highest frequency

uniq(): only keep unique vector values and its names

uniq_in_cols(): count unique values in each column

write_excel(): write a tibble into an excel file